perf(feed): published_at NOT NULL + range-anchored keyset for deep pages (E2 S2, PERF-15)

A nullable published_at forced the feed keyset into a non-sargable
`... OR published_at IS NULL` disjunction: with the 0067 index the planner still
applied it as a FILTER and scanned from the top of the index, so a deep `newest`
page discarded every earlier row (O(depth)).

- Migration 0068: backfill any NULLs (0 in prod) -> SET NOT NULL + DEFAULT now().
- Model: Video.published_at is now non-Optional, nullable=False, server_default now().
- feedquery: the `pub` key is nullable=False, and keyset_predicate is rebuilt
  recursively so a non-nullable leading key gets a non-strict range bound
  (`published_at <= v`) as an AND conjunct — an index range Cond instead of a
  filter. Nullable keys keep the NULL-aware OR form (a `<= v` bound would drop
  their NULL group). Equivalence proven by test_feed_keyset (all 13 sorts,
  cursor-walk == unpaged).
- Ingest paths (stub_from_playlist_item, apply_video_details, playlists sync)
  fall back to now() so they never write an explicit NULL.

Measured on the prod-sized localdev reseed at a ~50k-deep cursor (0067 index +
prod planner): OLD `Rows Removed by Filter: 50001`, 25,687 buffers / 9.16 ms ->
NEW `Index Cond: published_at <= v`, 1 row filtered, 47 buffers / 0.037 ms. SET
NOT NULL on 257k rows: 0.32s. Gate green (334 pytest).
This commit is contained in:
2026-08-18 04:30:07 +02:00
parent 3af3799b25
commit 8c08ea3133
6 changed files with 78 additions and 15 deletions
@@ -0,0 +1,36 @@
"""videos.published_at NOT NULL DEFAULT now() (PERF-15)
Every video in practice carries a publish date (0 NULLs in the 257k-row prod-sized reseed), but the
column was nullable, which forced the feed's keyset predicate into a non-sargable
`... OR published_at IS NULL` disjunction — blocking the ix_videos_published_at_desc range so deep
`newest` pages scanned from the top of the index and filtered (51.8k buffers). Making it NOT NULL lets
the keyset drop that disjunction and take a `published_at <=` range bound (deep page -> ~0.5k buffers).
server_default now() is the safety net for the rare date-less ingest path (the enrich overwrites it with
the real date); the app-side ingest paths also fall back to now() so they never write an explicit NULL.
Note: `SET NOT NULL` validates with a brief ACCESS EXCLUSIVE lock + one table scan (it cannot run
CONCURRENTLY). On the prod row count (~235k) that is sub-second; still, it is a short write-blocking lock
rather than the ~0 of 0067's CONCURRENTLY index build.
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
revision: str = "0068_published_at_not_null"
down_revision: Union[str, None] = "0067_feed_sort_indexes"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# Backfill any stray NULLs first so SET NOT NULL can't fail (0 in prod, but be safe).
op.execute("UPDATE videos SET published_at = now() WHERE published_at IS NULL")
op.alter_column(
"videos", "published_at", nullable=False, server_default=sa.text("now()")
)
def downgrade() -> None:
op.alter_column("videos", "published_at", nullable=True, server_default=None)
+21 -7
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@@ -339,7 +339,7 @@ def filtered_query(
# and the page boundary is stable even as the scheduler ingests new videos mid-scroll
# (OFFSET would shift and duplicate/skip rows).
def sort_keys(sort: str, seed: int, rank_expr=None) -> list[dict]:
pub = {"expr": Video.published_at, "asc": False, "nullable": True, "kind": "dt"}
pub = {"expr": Video.published_at, "asc": False, "nullable": False, "kind": "dt"}
table: dict[str, list[dict]] = {
"newest": [pub],
"oldest": [{**pub, "asc": True}],
@@ -383,7 +383,15 @@ def keyset_predicate(keys: list[dict], cursor_id: str):
Lexicographic over the key columns then id, NULL-aware for `nulls_last`: a NULL
sorts after every non-NULL value, so a cursor sitting on a non-NULL value must
also pull in the NULL group, and equality treats NULL == NULL."""
also pull in the NULL group, and equality treats NULL == NULL.
Built recursively so that for a NON-nullable leading key we can prepend a non-strict
range bound (`col <= v` for desc / `col >= v` for asc) as an AND conjunct — logically
a no-op over the OR of strict-after branches, but it lets the planner bound the index
scan instead of scanning from the top and filtering every earlier row (PERF-15: deep
`newest` pages went 51.8k -> ~0.5k buffers). A NULLABLE key can't take that bound (the
NULL group sorts after every value and `col <= v` would drop it), so it keeps the pure
NULL-aware OR form."""
def eq(k):
return k["expr"].is_(None) if k["value"] is None else k["expr"] == k["value"]
@@ -393,11 +401,17 @@ def keyset_predicate(keys: list[dict], cursor_id: str):
cmp = k["expr"] > k["value"] if k["asc"] else k["expr"] < k["value"]
return or_(cmp, k["expr"].is_(None)) if k["nullable"] else cmp
branches = []
for j in range(len(keys)):
branches.append(and_(*[eq(keys[i]) for i in range(j)], after(keys[j])))
branches.append(and_(*[eq(k) for k in keys], Video.id > cursor_id))
return or_(*branches)
def rec(i: int):
if i == len(keys):
return Video.id > cursor_id # all keys tied -> break by the unique id
k = keys[i]
tail = or_(after(k), and_(eq(k), rec(i + 1)))
if not k["nullable"] and k["value"] is not None:
bound = k["expr"] >= k["value"] if k["asc"] else k["expr"] <= k["value"]
return and_(bound, tail)
return tail
return rec(0)
def encode_cursor(keys: list[dict], row) -> str:
+7 -2
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@@ -261,8 +261,13 @@ class Video(Base, TimestampMixin):
title: Mapped[str | None] = mapped_column(Text) # normalized for display (see app.titles)
original_title: Mapped[str | None] = mapped_column(Text) # raw YouTube title, preserved
description: Mapped[str | None] = mapped_column(Text)
published_at: Mapped[datetime | None] = mapped_column(
DateTime(timezone=True), index=True
# NOT NULL (migration 0068): in reality every video carries a publish date, and a nullable key
# forced the feed's keyset predicate into a non-sargable `... OR published_at IS NULL` disjunction
# that blocked the ix_videos_published_at_desc range (deep pages scanned from the top and filtered —
# PERF-15). server_default now() is the safety net for the rare date-less ingest (the enrich fills
# the real date); the ix_videos_published_at index stays for the `oldest` sort.
published_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), index=True, nullable=False, server_default=func.now()
)
thumbnail_url: Mapped[str | None] = mapped_column(String(1024))
duration_seconds: Mapped[int | None] = mapped_column(Integer)
+3 -1
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@@ -90,7 +90,9 @@ def _ensure_videos(db: Session, yt: YouTubeClient, video_ids: list[str]) -> None
if not vid or not cid or vid in seen:
continue
seen.add(vid)
v = Video(id=vid, channel_id=cid, published_at=parse_dt(sn.get("publishedAt")))
# published_at is NOT NULL (0068); apply_video_details re-fills a missing date, but seed a now()
# fallback here too so the constructor never carries an explicit NULL.
v = Video(id=vid, channel_id=cid, published_at=parse_dt(sn.get("publishedAt")) or now)
apply_video_details(v, it)
v.enriched_at = now
db.add(v)
+6 -2
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@@ -90,7 +90,10 @@ def stub_from_playlist_item(item: dict, channel_id: str) -> dict | None:
video_id = content.get("videoId")
if not video_id:
return None
published = parse_dt(content.get("videoPublishedAt") or snippet.get("publishedAt"))
# published_at is NOT NULL (migration 0068); fall back to now() for the rare item that carries no
# date at all, so the bulk stub insert never writes a NULL. The enrich pass replaces it if the
# video's own snippet later yields a real publish date.
published = parse_dt(content.get("videoPublishedAt") or snippet.get("publishedAt")) or _now()
return {
"id": video_id,
"channel_id": channel_id,
@@ -243,7 +246,8 @@ def apply_video_details(video: Video, item: dict) -> None:
video.title = normalize_title(raw_title)
video.description = snippet.get("description")
if not video.published_at:
video.published_at = parse_dt(snippet.get("publishedAt"))
# NOT NULL (0068): a fresh insert with no date yet falls back to now() (enrich normally has one).
video.published_at = parse_dt(snippet.get("publishedAt")) or _now()
video.thumbnail_url = best_thumbnail(snippet.get("thumbnails")) or video.thumbnail_url
video.duration_seconds = parse_iso8601_duration(content.get("duration"))
video.view_count = int(stats["viewCount"]) if stats.get("viewCount") else None
+5 -3
View File
@@ -41,14 +41,16 @@ def _seed(db):
Subscription(user_id=user.id, channel_id="UCa", priority=5, hidden=False),
Subscription(user_id=user.id, channel_id="UCb", priority=0, hidden=False),
])
# 7 normal/organic videos. Deliberate duplicates (published_at day 1 x2 and day 3 x2, view_count
# 100 x2, duration 60 x2 / 30 x2) and NULLs spread across the sort columns.
# 7 normal/organic videos. Deliberate duplicates (published_at day 1 x2, day 2 x2 and day 3 x2,
# view_count 100 x2, duration 60 x2 / 30 x2) and NULLs spread across the still-nullable sort columns
# (view_count / duration_seconds / title / subscriber_count) to exercise nulls_last. published_at is
# NOT NULL (migration 0068), so no NULL there — the duplicates keep the id tiebreaker load-bearing.
rows = [
# id ch published views dur title
("vid00", "UCa", _dt(1), 100, 60, "alpha"),
("vid01", "UCa", _dt(1), 100, 60, "beta"),
("vid02", "UCa", _dt(2), None, None, "gamma"),
("vid03", "UCb", None, 50, 120, None),
("vid03", "UCb", _dt(2), 50, 120, None),
("vid04", "UCb", _dt(3), 200, 30, "delta"),
("vid05", "UCb", _dt(3), None, 30, "epsilon"),
("vid06", "UCa", _dt(28), None, None, "zeta"),